Open AccessOptimization of Aggregate Testing Using Polynomial Regression
Author(s) -
Vivian Wing Yan Tam,
Khoa N. Lê
Publication year - 2007
Publication title -
journal of green building
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.248
H-Index - 21
eISSN - 1943-4618
pISSN - 1552-6100
DOI - 10.3992/jgb.2.3.144
Subject(s) - vandermonde matrix , aggregate (composite) , mathematics , polynomial interpolation , set (abstract data type) , polynomial , interpolation (computer graphics) , statistics , algorithm , computer science , mathematical analysis , linear interpolation , artificial intelligence , eigenvalues and eigenvectors , materials science , physics , quantum mechanics , composite material , programming language , motion (physics)
Recycled Aggregate (RA) has only been used as sub-grade applications, roadwork and unbound materials because it is believed that RA has lower strength and poorer quality than normal aggregate. This paper assesses RA quality by proposing a new testing procedure. The new procedure is developed by using correlation information among the standard twenty three tests commonly employed in the construction industry. Samples of RA from ten demolition sites were obtained with service life ranging from ten to forty years. One additional set of samples was specifically collected from the Tuen Mun Area 38 Recycling Plant, Hong Kong for testing. The characteristics of these eleven sets of samples were then compared with normal aggregate samples. A Vandermonde matrix for interpolation polynomials coefficient estimation is employed to yield detailed mathematical relationships between results of two particular tests, from that redundant tests can be identified. Different orders of interpolation polynomials are used for comparison, hence the best-fit equations with lowest fitting errors from different orders of polynomials can be found. This paper shows that four out of twenty three tests are required in the new testing procedure.Griffith Sciences, Griffith School of EngineeringNo Full Tex